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  "Description": "A methodology to perform multivariate measurement error\nadjustment using external validation data. Allows users to\nremove the attenuating effect of measurement error by\nincorporating a distribution of external validation data, and\nallows for plotting of all resultant adjustments. Sensitivity\nanalyses can also be run through this package to test how\ndifferent ranges of validity coefficients can impact the effect\nof the measurement error adjustment. The methods implemented in\nthis package are based on the work by Muoka, A., Agogo, G.,\nNgesa, O., Mwambi, H. (2020):\n<doi:10.12688/f1000research.27892.1>.",
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      "title": "Model the Data",
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        "acme_model"
      ]
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      "title": "Define the Pre-Model Using Stan",
      "topics": [
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    {
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      "title": "Perform the Fisher Z Transformation",
      "topics": [
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    {
      "page": "generate_coefficient",
      "title": "Generate updated validity coefficient using Fisher Z Transformation",
      "topics": [
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    },
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      "title": "Model the Data with Multivariate Adjustment",
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    {
      "page": "plot_a_list",
      "title": "Custom Function to Use Patchwork",
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      "title": "Diagnostics for Models",
      "topics": [
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    {
      "page": "traceplots",
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      ]
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